Source: blog.google
Google announced a series of new artificial intelligence models on Wednesday, offering outside developers the opportunity to use and customize them for their projects. They released “Gemma,” derived from the Latin word that means “precious stone,” as an open-source large language model. Google’s Gemini model inspires these lightweight models. Google DeepMind, along with other teams from the company, developed it and optimized it for use with limited resources. Gemma will help developers create chatbots, content generation tools, and many other projects using a common language model.
Google has released Gemma in two versions: 2B and 7B. The number of parameters implies the potential capability and complexity of a model. Ones who have more parameters are better able to use and generate advanced responses. However, they need more resources to train and run. Even though these models have lightweight designs, they offer top-quality performance. They can be used directly on the devices of developers and beat the larger models by giving safe and sophisticated results. Gemma’s design also has automated AI techniques to ensure that the model filters sensitive data and becomes reliable for users.
It is also compatible with various devices and flexible enough to work on different types of data and applications. Moreover, Gemma is optimized for Google Cloud and is efficient for multiple hardware designs. To build community engagement, Google also allows free access to this open language model on platforms such as Kaggle and Colab. Moreover, first-time cloud users utilizing Gemma also get $300 in credits. This move aims to increase experimentation among developers and researchers. Not only this, Google has partnered with NVIDIA to optimize Gemma for its AI platforms, aiming to reduce the development cost and improve overall performance.
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